The panel explored how self‑represented litigants (pro se plaintiffs) are increasingly using generative AI tools to draft complaints, motions, and discovery requests. While these tools produce polished filings, they often misguide consumers, leading to frivolous claims, unrealistic expectations, and higher costs for defendants.
Panelists noted that AI has contributed to a sharp rise in filings, particularly in statutory claims under FDCPA, FCRA, and TCPA. As Brendan Little observed, “90% of the pro se cases I’m seeing are AI‑assisted.” Loraine Lyons cited research showing a 50% increase in pro se filings since ChatGPT’s release.
Discovery requests have become more burdensome, with litigants demanding documents far beyond legal entitlement. Avanti Bakane described “motion after motion that doesn’t make sense,” while Sarena Gaylor highlighted excessive validation demands. Judges remain lenient, often allowing multiple amended complaints, which prolongs litigation.
The panel agreed that while AI empowers consumers, it also creates inefficiencies and false confidence. As Lyons put it, “AI is encouraging whatever the position of this pro se plaintiff is and giving them an unrealistic expectation of what they think the claim is worth.”
🧠 Key Takeaways:
- Train teams to spot AI‑generated filings: Look for dense citations, unusual formatting, or references to statutes that don’t apply.
- Standardize responses to overbroad discovery: Prepare templates and protocols to efficiently handle unreasonable requests.
- Leverage AI defensively: Use AI tools to detect patterns, manage deadlines, and filter frivolous claims, effectively “fighting fire with fire.”
This webinar underscored that AI is reshaping litigation dynamics. For collection agencies, debt buyers, and financial institutions, adapting strategies and deploying AI defensively will be critical to managing costs and maintaining compliance in this new environment.
